executor

Documentation

Index

• Constants
• func FailResult(err error) (*models.RunCommandResult, error)
• func NewExecutorError(code bacerrors.ErrorCode, message string) bacerrors.Error
• func NewFailedResult(reason string) *models.RunCommandResult
• func WriteJobResults(resultsDir string, stdout, stderr io.Reader, exitcode int, err error, ...) *models.RunCommandResult
• type ExecProvider
• type Executor
• type OutputLimits
• type RunCommandRequest

Constants

const (
	ExecutionAlreadyStarted   bacerrors.ErrorCode = "ExecutionAlreadyStarted"
	ExecutionAlreadyCancelled bacerrors.ErrorCode = "ExecutionAlreadyCancelled"
	ExecutionAlreadyComplete  bacerrors.ErrorCode = "ExecutionAlreadyComplete"
	ExecutionNotFound         bacerrors.ErrorCode = "ExecutionNotFound"
	ExecutorSpecValidationErr bacerrors.ErrorCode = "ExecutorSpecValidationErr"
)

Common Error Codes for Executor

const ExecComponentName = "Executor"

Functions

func FailResult

func FailResult(err error) (*models.RunCommandResult, error)

func NewExecutorError

func NewExecutorError(code bacerrors.ErrorCode, message string) bacerrors.Error

func NewFailedResult

func NewFailedResult(reason string) *models.RunCommandResult

func WriteJobResults

func WriteJobResults(
	resultsDir string,
	stdout, stderr io.Reader,
	exitcode int,
	err error,
	limits OutputLimits,
) *models.RunCommandResult

WriteJobResults produces files and a models.RunCommandResult in the standard format, including truncating the contents of both where necessary to fit within system-defined limits.

It will consume only the bytes from the passed io.Readers that it needs to correctly form job outputs. Once the command returns, the readers can close.

Types

type ExecProvider

type ExecProvider = provider.Provider[Executor]

ExecProvider returns a executor for the given engine type

type Executor

type Executor interface {
	// A Providable is something that a Provider can check for installation status
	provider.Providable

	bidstrategy.SemanticBidStrategy
	bidstrategy.ResourceBidStrategy

	// Start initiates an execution for the given RunCommandRequest.
	// It returns an error if the execution already exists and is in a started or terminal state.
	// Implementations may also return other errors based on resource limitations or internal faults.
	Start(ctx context.Context, request *RunCommandRequest) error

	// Run initiates and waits for the completion of an execution for the given RunCommandRequest.
	// It returns a RunCommandResult and an error if any part of the operation fails.
	// Specifically, it will return an error if the execution already exists and is in a started or terminal state.
	Run(ctx context.Context, args *RunCommandRequest) (*models.RunCommandResult, error)

	// Wait monitors the completion of an execution identified by its executionID.
	// It returns two channels:
	// 1. A channel that emits the execution result once the task is complete.
	// 2. An error channel that relays any issues encountered, such as when the
	//    execution is non-existent or has already concluded.
	Wait(ctx context.Context, executionID string) (<-chan *models.RunCommandResult, <-chan error)

	// Cancel attempts to cancel an ongoing execution identified by its executionID.
	// Returns an error if the execution does not exist or is already in a terminal state.
	Cancel(ctx context.Context, executionID string) error

	// GetLogStream provides a stream of output for an ongoing or completed execution identified by its executionID.
	// The 'withHistory' flag indicates whether to include historical data in the stream.
	// The 'follow' flag indicates whether the stream should continue to send data as it is produced.
	// Returns an io.ReadCloser to read the output stream and an error if the operation fails.
	// Specifically, it will return an error if the execution does not exist.
	GetLogStream(ctx context.Context, request messages.ExecutionLogsRequest) (io.ReadCloser, error)
}

Executor serves as an execution manager for running jobs on a specific backend, such as a Docker daemon. It provides a comprehensive set of methods to initiate, monitor, terminate, and retrieve output streams for executions.

type OutputLimits

type OutputLimits struct {
	MaxStdoutFileLength   datasize.ByteSize
	MaxStdoutReturnLength datasize.ByteSize
	MaxStderrFileLength   datasize.ByteSize
	MaxStderrReturnLength datasize.ByteSize
}

type RunCommandRequest

type RunCommandRequest struct {
	JobID        string                    // Unique identifier for the job.
	ExecutionID  string                    // Unique identifier for a specific execution of the job.
	Resources    *models.Resources         // Resource requirements like CPU, Memory, GPU, Disk.
	Network      *models.NetworkConfig     // Network configuration for the execution.
	Outputs      []*models.ResultPath      // Paths where the execution should store its outputs.
	Inputs       []storage.PreparedStorage // Prepared storage elements that are used as inputs.
	ResultsDir   string                    // Directory where results should be stored.
	EngineParams *models.SpecConfig        // Engine-specific configuration parameters.
	OutputLimits OutputLimits              // Output size limits for the execution.
}

RunCommandRequest encapsulates the parameters required to initiate a job execution. It includes identifiers, resource requirements, network configurations, and various other settings.